Information processing method, storage medium, and information processing device

Abstract

Provided is a technique for efficiently predicting the number of occurrences of emergency medical service requests in a target area. At least patient attributes being attributes of patients, date/time information indicating dates and times of occurrences of emergency medical service requests, position information indicating places of the occurrences of the emergency medical service requests, and illness/injury information indicating illnesses and injuries that caused the emergency medical service requests are obtained. The illnesses and injuries are categorized into illness/injury groups, on a basis of a likelihood of occurrences of the illnesses and injuries in the illness/injury information obtained by bringing the patient attributes, the position information, and the date/time information into association with one another. A quantity of occurrences of emergency medical service requests is estimated by bringing an arbitrary date/time into association with frequency of occurrences of each of the illness/injury groups calculated for each prescribed unit area and each prescribed unit time period, by using a first method. The quantity of the occurrences of the emergency medical service requests is output.

1 . A method for processing information, the method comprising:
 obtaining at least patient attributes being attributes of patients, date/time information indicating dates and times of occurrences of emergency medical service requests, position information indicating places of the occurrences of the emergency medical service requests, and illness/injury information indicating illnesses and injuries that caused the emergency medical service requests;   categorizing the illnesses and injuries into illness/injury groups, on a basis of a likelihood of occurrences of the illnesses and injuries in the illness/injury information obtained by bringing the patient attributes, the position information, and the date/time information into association with one another;   estimating a quantity of occurrences of emergency medical service requests by bringing an arbitrary date/time into association with frequency of occurrences of each of the illness/injury groups calculated for each prescribed unit area and each prescribed unit time period, by using a first method; and   outputting the quantity of the occurrences of the emergency medical service requests.   
     
     
         2 . The method according to  claim 1 , wherein increase and decrease in the quantity of the occurrences of the emergency medical service requests being different from time-series fluctuation are estimated by further bringing the arbitrary date/time into association with the frequency of occurrences of each of the illness/injury groups calculated for each prescribed unit area and each prescribed unit time period, by using a second method different from the first method,
 the method further comprising:
 obtaining the quantity of the occurrences of the emergency medical service requests to be output, on a basis of the quantity of the occurrences estimated by the first method, the increase and decrease in the quantity of the occurrences estimated by the second method, the arbitrary date/time, and a weight obtained on a basis of a meteorological condition corresponding at least to the position information. 
 
 
     
     
         3 . The information processing method according to  claim 2 , wherein
 the meteorological condition includes snowfall or rainfall of climate, as a condition, and wherein   the quantity of the occurrences of the emergency medical service requests to be output is obtained in such a manner that the more snowfall or rainfall there is in the climate, the larger is the weight applied to the quantity of the occurrences estimated by the second method.   
     
     
         4 . A computer-readable non-transitory storage medium storing a computer-executable instructions that when executed by a processor cause the computer-executable instructions to execute a method comprising:
 obtaining at least patient attributes being attributes of patients, date/time information indicating dates and times of occurrences of emergency medical service requests, position information indicating places of the occurrences of the emergency medical service requests, and illness/injury information indicating illnesses and injuries that caused the emergency medical service requests;   categorizing the illnesses and injuries into illness/injury groups, on a basis of a likelihood of occurrences of the illnesses and injuries in the illness/injury information obtained by bringing the patient attributes, the position information, and the date/time information into association with one another;   estimating a quantity of occurrences of emergency medical service requests by bringing an arbitrary date/time into association with frequency of occurrences of each of the illness/injury groups calculated for each prescribed unit area and each prescribed unit time period, by using a first method; and   outputting the quantity of the occurrences of the emergency medical service requests.   
     
     
         5 . An information processing device comprising a processor configured to execute a method, a method comprising:
 obtaining at least patient attributes being attributes of patients, date/time information indicating dates and times of occurrences of emergency medical service requests, position information indicating places of the occurrences of the emergency medical service requests, and illness/injury information indicating illnesses and injuries which caused the emergency medical service requests;   categorizing the illnesses and injuries into illness/injury groups, on a basis of a likelihood of occurrences of the illnesses and injuries in the illness/injury information obtained by bringing the patient attributes, the position information, and the date/time information into association with one another;   estimating a quantity of occurrences of emergency medical service requests by bringing an arbitrary date/time into association with frequency of occurrences of each of the illness/injury groups calculated for each prescribed unit area and each prescribed unit time period, by using a first method; and   outputting the quantity of the occurrences of the emergency medical service requests.   
     
     
         6 . The method according to  claim 1 , wherein the quantity of occurrences of emergency medical service requests indicates an outburst of occurrences of emergency medical service requests. 
     
     
         7 . The method according to  claim 1 , wherein the estimating uses a prediction model based on a neural network. 
     
     
         8 . The method according to  claim 1 , wherein the categorizing uses a categorization model based on a neural network. 
     
     
         9 . The computer-readable non-transitory storage medium according to  claim 4 , wherein increase and decrease in the quantity of the occurrences of the emergency medical service requests being different from time-series fluctuation are estimated by further bringing the arbitrary date/time into association with the frequency of occurrences of each of the illness/injury groups calculated for each prescribed unit area and each prescribed unit time period, by using a second method different from the first method,
 the computer-executable instructions further execute a method comprising:
 obtaining the quantity of the occurrences of the emergency medical service requests to be output, on a basis of the quantity of the occurrences estimated by the first method, the increase and decrease in the quantity of the occurrences estimated by the second method, the arbitrary date/time, and a weight obtained on a basis of a meteorological condition corresponding at least to the position information. 
   
     
     
         10 . The computer-readable non-transitory storage medium according to  claim 4 , wherein the quantity of occurrences of emergency medical service requests indicates an outburst of occurrences of emergency medical service requests. 
     
     
         11 . The computer-readable non-transitory storage medium according to  claim 4 , wherein the estimating uses a prediction model based on a neural network. 
     
     
         12 . The computer-readable non-transitory storage medium according to  claim 4 , wherein the categorizing uses a categorization model based on a neural network. 
     
     
         13 . The information processing device according to  claim 5 , wherein increase and decrease in the quantity of the occurrences of the emergency medical service requests being different from time-series fluctuation are estimated by further bringing the arbitrary date/time into association with the frequency of occurrences of each of the illness/injury groups calculated for each prescribed unit area and each prescribed unit time period, by using a second method different from the first method,
 the processor further configured to execute a method comprising:
 obtaining the quantity of the occurrences of the emergency medical service requests to be output, on a basis of the quantity of the occurrences estimated by the first method, the increase and decrease in the quantity of the occurrences estimated by the second method, the arbitrary date/time, and a weight obtained on a basis of a meteorological condition corresponding at least to the position information. 
   
     
     
         14 . The information processing device according to  claim 5 , wherein the quantity of occurrences of emergency medical service requests indicates an outburst of occurrences of emergency medical service requests. 
     
     
         15 . The information processing device according to  claim 5 , wherein the estimating uses a prediction model based on a neural network. 
     
     
         16 . The information processing device according to  claim 5 , wherein the categorizing uses a categorization model based on a neural network. 
     
     
         17 . The computer-readable non-transitory storage medium according to  claim 9 , wherein
 the meteorological condition includes snowfall or rainfall of climate, as a condition, and wherein   the quantity of the occurrences of the emergency medical service requests to be output is obtained in such a manner that the more snowfall or rainfall there is in the climate, the larger is the weight applied to the quantity of the occurrences estimated by the second method.   
     
     
         18 . The information processing device according to  claim 13 , wherein
 the meteorological condition includes snowfall or rainfall of climate, as a condition, and wherein   the quantity of the occurrences of the emergency medical service requests to be output is obtained in such a manner that the more snowfall or rainfall there is in the climate, the larger is the weight applied to the quantity of the occurrences estimated by the second method.